Fault detection and diagnosis of air-conditioning system using long short-term memory recurrent neural network

In this project, a fault detection and diagnosis (FDD) system was developed using Long Short-Term Memory Recurrent Neural Network (LSTM RNN), to detect and classify six common faults in a centralised chilled water air conditioning system. Datasets from a lab-scale centralised chilled water air condi...

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Main Authors:	Sulaiman, Noor Asyikin, Sabal Menanti, Nur Amalina, Md. Yusop, Azdiana, Zainudin, Muhammad Noorazlan Shah, Mohamad Yatim, Norhidayah, Abd. Razak, Norazlina, Abdullah, Md. Pauzi
Format:	Article
Published:	Wydawnictwo SIGMA-NOT 2023
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/106632/ http://dx.doi.org/10.15199/48.2023.09.21
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Institution:	Universiti Teknologi Malaysia

id	my.utm.106632
record_format	eprints
spelling	my.utm.1066322024-07-09T08:08:52Z http://eprints.utm.my/106632/ Fault detection and diagnosis of air-conditioning system using long short-term memory recurrent neural network Sulaiman, Noor Asyikin Sabal Menanti, Nur Amalina Md. Yusop, Azdiana Zainudin, Muhammad Noorazlan Shah Mohamad Yatim, Norhidayah Abd. Razak, Norazlina Abdullah, Md. Pauzi TK Electrical engineering. Electronics Nuclear engineering In this project, a fault detection and diagnosis (FDD) system was developed using Long Short-Term Memory Recurrent Neural Network (LSTM RNN), to detect and classify six common faults in a centralised chilled water air conditioning system. Datasets from a lab-scale centralised chilled water air conditioning system were used in the developed model. Results showed that the classifier model demonstrated a classification accuracy of over 99.3% for all six classes. Wydawnictwo SIGMA-NOT 2023 Article PeerReviewed Sulaiman, Noor Asyikin and Sabal Menanti, Nur Amalina and Md. Yusop, Azdiana and Zainudin, Muhammad Noorazlan Shah and Mohamad Yatim, Norhidayah and Abd. Razak, Norazlina and Abdullah, Md. Pauzi (2023) Fault detection and diagnosis of air-conditioning system using long short-term memory recurrent neural network. Przeglad Elektrotechniczny, 2023 (9). pp. 113-117. ISSN 0033-2097 http://dx.doi.org/10.15199/48.2023.09.21 DOI:10.15199/48.2023.09.21
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Sulaiman, Noor Asyikin Sabal Menanti, Nur Amalina Md. Yusop, Azdiana Zainudin, Muhammad Noorazlan Shah Mohamad Yatim, Norhidayah Abd. Razak, Norazlina Abdullah, Md. Pauzi Fault detection and diagnosis of air-conditioning system using long short-term memory recurrent neural network
description	In this project, a fault detection and diagnosis (FDD) system was developed using Long Short-Term Memory Recurrent Neural Network (LSTM RNN), to detect and classify six common faults in a centralised chilled water air conditioning system. Datasets from a lab-scale centralised chilled water air conditioning system were used in the developed model. Results showed that the classifier model demonstrated a classification accuracy of over 99.3% for all six classes.
format	Article
author	Sulaiman, Noor Asyikin Sabal Menanti, Nur Amalina Md. Yusop, Azdiana Zainudin, Muhammad Noorazlan Shah Mohamad Yatim, Norhidayah Abd. Razak, Norazlina Abdullah, Md. Pauzi
author_facet	Sulaiman, Noor Asyikin Sabal Menanti, Nur Amalina Md. Yusop, Azdiana Zainudin, Muhammad Noorazlan Shah Mohamad Yatim, Norhidayah Abd. Razak, Norazlina Abdullah, Md. Pauzi
author_sort	Sulaiman, Noor Asyikin
title	Fault detection and diagnosis of air-conditioning system using long short-term memory recurrent neural network
title_short	Fault detection and diagnosis of air-conditioning system using long short-term memory recurrent neural network
title_full	Fault detection and diagnosis of air-conditioning system using long short-term memory recurrent neural network
title_fullStr	Fault detection and diagnosis of air-conditioning system using long short-term memory recurrent neural network
title_full_unstemmed	Fault detection and diagnosis of air-conditioning system using long short-term memory recurrent neural network
title_sort	fault detection and diagnosis of air-conditioning system using long short-term memory recurrent neural network
publisher	Wydawnictwo SIGMA-NOT
publishDate	2023
url	http://eprints.utm.my/106632/ http://dx.doi.org/10.15199/48.2023.09.21
_version_	1805880840500019200

Fault detection and diagnosis of air-conditioning system using long short-term memory recurrent neural network

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